Results 231 to 240 of about 278,336 (309)

Nomogram integrating MRI radiomics and white matter hyperintensity grading for predicting overall survival in patients with non‐small cell lung cancer and brain metastases receiving whole‐brain radiotherapy

open access: yesPrecision Radiation Oncology, EarlyView.
A prognostic nomogram integrating radiomic features and white matter hyperintensity (WMH) grading was developed to enable individualized survival prediction in patients with brain metastases (BMs). Integration of these imaging biomarkers into the clinical model enhanced predictive performance, indicating their incremental prognostic value for BM ...
Jianan Ni   +7 more
wiley   +1 more source

Lung, NSCLC

open access: yesAnnals of Oncology, 1998
openaire   +1 more source

Effects of proton therapy on the tumor immune system and clinical implications: A review

open access: yesPrecision Radiation Oncology, EarlyView.
Proton therapy is a novel radiotherapy technique. We review four aspects of proton therapy: application in various tumors, effects on the tumor immune system, combination with other therapies, and future challenges. By presenting these aspects in this review, we aim to inspire clinical interventions.
Rundong Liu   +5 more
wiley   +1 more source

Precise delineation of radiation targets for thoracic tumors in the immunotherapy era: from immune mechanisms to clinical practice

open access: yesPrecision Radiation Oncology, EarlyView.
RT‐immunotherapy synergy for thoracic tumors relies on precise target delineation to protect immune components. IFI, reduced volumes, and optimized positioning minimize damage, while multimodal imaging, DL, PBT, and FLASH‐RT enhance control. These innovations shift RT to an immune‐centric model, improving lung and esophageal cancer outcomes.
Xiaoying Chen   +3 more
wiley   +1 more source

A sample size analysis of a mathematical model of longitudinal tumor volume and progression‐free survival for Bayesian individual dynamic predictions in recurrent high‐grade glioma

open access: yesCPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 495-509, March 2025.
Abstract Patients with recurrent high‐grade glioma (rHGG) have a poor prognosis with median progression‐free survival (PFS) of <7 months. Responses to treatment are heterogenous, suggesting a clinical need for prognostic models. Bayesian data analysis can exploit individual patient follow‐up imaging studies to adaptively predict the risk of progression.
Daniel J. Glazar   +5 more
wiley   +1 more source

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